Koukyosyumei / AIJack
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
☆364Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for AIJack
- Breaching privacy in federated learning scenarios for vision and text☆270Updated 7 months ago
- Algorithms to recover input data from their gradient signal through a neural network☆274Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆169Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆287Updated last year
- ☆291Updated this week
- ☆167Updated last month
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆177Updated 3 years ago
- An awesome list of papers on privacy attacks against machine learning☆564Updated 8 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆157Updated 9 months ago
- A library for running membership inference attacks against ML models☆139Updated last year
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆336Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆188Updated 6 months ago
- Code and data accompanying the FedGen paper☆239Updated 3 weeks ago
- autodp: A flexible and easy-to-use package for differential privacy☆267Updated 11 months ago
- 机器学习和差分隐私的论文笔记和代码仓☆318Updated this week
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning☆133Updated 3 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆273Updated 4 months ago
- Personalized federated learning codebase for research☆357Updated last year
- Privacy Preserving Vertical Federated Learning☆215Updated last year
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆145Updated 3 years ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆250Updated 2 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆348Updated 3 weeks ago
- [NeurIPS 2019] Deep Leakage From Gradients☆416Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆42Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆137Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆116Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆100Updated this week
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆229Updated 4 months ago